code: def __init__(self, hidden_channels):
      super().__init__()
      self.lin1 = Linear(2 * hidden_channels, hidden_channels)
      self.lin2 = Linear(hidden_channels, 1)
  
imports: import os.path
  import torch
  import torch.nn.functional
  import tqdm
  from sklearn.metrics import roc_auc_score
  from torch.nn import Embedding, Linear
  import torch_geometric.transforms
  from torch_geometric.datasets import Taobao
  from torch_geometric.loader import LinkNeighborLoader
  from torch_geometric.nn import SAGEConv
  from torch_geometric.utils.convert import to_scipy_sparse_matrix
label_desc: Use image node_id 1 to create a new EdgeDecoder object from inherited base classes: torch.nn with example: obj = EdgeDecoder(hidden_channels)